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OWLETS-2 Surface Lidar Data

Metadata Updated: September 18, 2025

OWLETS2_SurfaceLidar_Data_1 is the Ozone Water-Land Environmental Transition Study (OWLETS-2) NASA GSFC TROPOZ, NASA LMOL, and wind lidar data collected at Hart Miller Island site and UMBC site during the OWLETS-2 field campaign. OWLETS was supported by the NASA Science Innovation Fund (SIF). Data collection is complete.Coastal regions have typically posed a challenge for air quality researchers due to a lack of measurements available over water and water-land boundary transitions. Supported by NASA’s Science Innovation Fund (SIF), the Ozone Water-Land Environmental Transition Study (OWLETS) field campaign examined ozone concentrations and gradients over the Chesapeake Bay from July 5, 2017 – August 3, 2017, with twelve intensive measurement days occurring during this time period. OWLETS utilized a unique combination of instrumentation, including aircraft, TOLNet ozone lidars (NASA Goddard Space Flight Center Tropospheric Ozone Differential Absorption Lidar and NASA Langley Research Center Mobile Ozone Lidar), UAV/drones, ozonesondes, AERONET sun photometers, and mobile and ship-based measurements, to characterize the land-water differences in ozone and other pollutants. Two main research sites were established as part of the campaign: an over-land site at NASA LaRC, and an over-water site at the Chesapeake Bay Bridge Tunnel. These two research sites were established to provide synchronous vertical measurements of meteorology and pollutants over water and over land. In combination with mobile observations between the two sites, pollutant gradients were able to be observed and used to better understand the fundamental processes occurring at the land-water interface. OWLETS-2 was completed from June 6, 2018 – July 6, 2018 in the upper Chesapeake Bay region. Research sites were established at the University of Maryland, Baltimore County (UMBC), Hart Miller Island (HMI), and Howard University Beltsville (HUBV), with HMI representing the over-water location and UMBC and HUBV representing the over-land sites. Similar measurements were carried out to further characterize water-land gradients in the upper Chesapeake Bay. The measurements completed during OWLETS are of importance in enhancing air quality models, and improving future satellite retrievals, particularly, NASA’s Tropospheric Emissions: Monitoring of Pollution, which is scheduled to launch in 2022.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date April 11, 2025
Metadata Updated Date September 18, 2025

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date April 11, 2025
Metadata Updated Date September 18, 2025
Publisher NASA/LARC/SD/ASDC
Maintainer
Identifier 10.5067/Suborbital/OWLETS-2/SurfaceLidar_Data_1
Data Last Modified 2025-09-11
Category Earth Science
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c138fe79-cab7-4144-986d-f6711b3696b7
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://journals.ametsoc.org/bams/article/100/2/291/69189/The-Ozone-Water-Land-Environmental-Transition
Old Spatial "CARTESIAN",{"Boundary":{"Points":{"Latitude":36,"Longitude":-78},{"Latitude":36,"Longitude":-75},{"Latitude":41,"Longitude":-75},{"Latitude":41,"Longitude":-78},{"Latitude":36,"Longitude":-78}}}, Maximum Altitude, 9999.9 Meters
Program Code 026:000
Source Datajson Identifier True
Source Hash 84b40467e699805d0208d6842968827f81f6d8daeae0770e1e989b0d740918af
Source Schema Version 1.1
Spatial
Temporal 2018-05-23/2018-05-23

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